Full-Time
Research Engineer
Language, Ocr
Confirmed live in the last 24 hours
Meta
10,001+ employees
Social media platforms and virtual reality solutions
Compensation Overview
$70.67 - $208kHourly
Senior, Expert
Company Historically Provides H1B Sponsorship
Menlo Park, CA, USA + 1 more
More locations: Bellevue, WA, USA
For those who live in or expect to work from California if hired for this position.
You match the following Meta's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Research experience in machine learning, deep learning, and/or natural language processing.
- Experience with developing machine learning models at scale from inception to business impact.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Exposure to architectural patterns of large scale software applications.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Design methods, tools, and infrastructure to push forward the state of the art in OCR models.
- Define research goals informed by practical engineering concerns.
- Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Work with a large and globally distributed team.
- Contribute to publications and open-sourcing efforts.
- Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, data science, or related technical fields.
- Direct experience in OCR research.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.
Company Stage
IPO
Total Funding
$2.2B
Headquarters
Menlo Park, California
Founded
2004
6 month growth
↑ 8%1 year growth
↑ 10%2 year growth
↑ 4%
Simplify's Take
What believers are saying
- Meta's collaboration with Oakley expands its reach into the wearable tech market.
- Development of a new high-end Quest headset enhances Meta's VR market position.
- Investment in Databricks supports Meta's AI capabilities with the Llama model.
What critics are saying
- EU scrutiny of Meta's ad-free service could lead to legal challenges.
- Rise of AI competitors like DeepSeek threatens Meta's AI market position.
- Consumer adoption challenges may affect Meta's new high-end Quest headset.
What makes Meta unique
- Meta's platforms like Facebook, Instagram, and WhatsApp dominate global social media engagement.
- Meta's Oculus division leads in virtual reality hardware and experiences.
- Meta's data-driven advertising tools offer unmatched audience targeting capabilities.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours